CN117890327A - Laser methane sensor stability evaluation method - Google Patents
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 558
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Abstract
The invention discloses a laser methane sensor stability evaluation method, which relates to the technical field of methane sensor evaluation and comprises the following steps: measuring the concentration of methane gas by a laser intensity variation generated by an optical reaction between a laser methane sensor and methane gas; and acquiring a plurality of measurement process data information, including photoelectric property information and data fluctuation condition information, when the laser methane sensor measures the methane gas concentration. According to the invention, through monitoring the whole process of monitoring the methane gas concentration of the laser methane sensor, when the laser methane sensor has insufficient stability, a warning prompt is sent out, so that corresponding staff can be overhauled in time, when the laser methane sensor is found to have stability problems, maintenance management is carried out, and follow-up maintenance results are tracked, thereby effectively ensuring long-term stable operation of the laser methane sensor and improving the reliability and practicability of the system.
Description
Technical Field
The invention relates to the technical field of methane sensor evaluation, in particular to a laser methane sensor stability evaluation method.
Background
The laser methane sensor adopts a laser absorption spectrum technology, the laser absorption spectrum technology utilizes a laser beam to pass through a gas sample, detects light absorption of specific wavelength, and determines the concentration of methane gas by measuring the intensity of absorption emission light based on the characteristic that the absorption of methane molecules to specific laser wavelength is obvious;
The prior art has the following defects: in an industrial environment, there may be a variety of gases, and sensors need to be able to accurately distinguish and measure target gases, and sometimes laser methane sensors may not be sensitive enough to low concentrations of methane, which may affect the ability to detect low concentrations of methane in the environment, some sensors may exhibit performance degradation after prolonged use, may be due to problems of degradation of optical elements, aging of light sources, etc., which may lead to failure to discover potential methane leaks in time, which may lead to safety risks such as explosion and fire.
The present invention proposes a solution to the above-mentioned problems.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a method for evaluating stability of a laser methane sensor, which solves the problems set forth in the above-mentioned background art by evaluating the methane sensor.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a laser methane sensor stability evaluation method comprises the following steps:
S10, measuring the concentration of methane gas through laser intensity change generated by optical reaction between a laser methane sensor and the methane gas;
S20, acquiring a plurality of measurement process data information of the laser methane sensor when measuring the concentration of methane gas, wherein the measurement process data information comprises photoelectric property information of the two processes before laser emission and after the reaction of the methane gas and the laser is completed and data fluctuation condition information caused by the difference of input and output signals of a laser methane sensor instrument, and analyzing and processing the photoelectric property information and the data fluctuation condition information;
s30, establishing a comprehensive analysis model of the photoelectric property information and the data fluctuation condition information which are subjected to analysis processing when the laser methane sensor measures the methane gas concentration, generating a monitoring stability evaluation value, and evaluating the stability of the laser methane sensor when the laser methane sensor measures the methane gas concentration through the monitoring stability evaluation value;
S40, comparing and analyzing a monitoring stability evaluation value generated when the laser methane sensor measures the methane gas concentration with a preset monitoring stability reference threshold value, judging the stability condition of the laser methane sensor when the laser methane sensor measures the methane gas concentration, and sending an early warning notice to the hidden danger of abnormality;
S50, when maintenance management is carried out on the stability abnormality existing when the laser methane sensor measures the methane gas concentration, a plurality of measurement stability evaluation values output in real time when the laser methane sensor measures the methane gas concentration are collected for comprehensive analysis, and the maintenance management condition is judged.
In a preferred embodiment, in step S20, the information of the photoelectric property of the laser methane sensor when measuring the methane gas concentration includes a photoelectric drift deviation coefficient and a laser absorption light intensity variation coefficient, the information of the data fluctuation condition includes an input/output signal curvature anomaly coefficient, and after the information is obtained, the photoelectric drift deviation coefficient, the laser absorption light intensity variation coefficient and the input/output signal curvature anomaly coefficient are respectively calibrated to be 、 and .
In a preferred embodiment, the logic for the optoelectronic drift deviation coefficient acquisition is as follows:
Acquiring a light source drift index of a laser methane sensor at the tail end moment in P time when the methane gas concentration is measured, and calibrating the real-time light source drift index to be ; the light source drift index is used for representing the variation difference condition of the laser wavelength and the emission light intensity compared with the set wavelength and the emission light intensity, and the calculation formula of the light source drift index is as follows: Wherein denotes a light source drift index, denotes a laser wavelength size, denotes an initially set wavelength size, denotes an emitted light intensity, and denotes an initially set emitted light intensity; calculating a photoelectric drift deviation coefficient, wherein the calculation expression is as follows: Wherein denotes an initial light source drift index;
The acquisition logic of the laser absorption light intensity variation coefficient is as follows:
Acquiring real-time absorption light intensity at different moments in P time when the laser methane sensor measures the methane gas concentration, and calibrating the real-time absorption light intensity to be , to represent the number of the real-time absorption light intensity acquired by the laser methane sensor at each moment in P time, wherein , is a positive integer; the method comprises the steps of calculating an absorption light intensity standard deviation and an absorption light intensity average value by using a laser methane sensor to measure the real-time absorption light intensity at different moments in P time, and marking the absorption light intensity standard deviation and the absorption light intensity average value as and respectively, wherein the following specific calculation formula is as follows: ,; and calculating the absorption light intensity variation coefficient, wherein the calculated expression is as follows: Wherein denotes the absorption intensity variation coefficient;
calculating the variation coefficient of the laser absorption light intensity, wherein the calculated expression is as follows: ;
the acquisition logic of the curvature anomaly coefficient of the input and output signals is as follows:
Acquiring real-time input signals and data of the input signals corresponding to the interval Q time period in the P time when the laser methane sensor measures the methane gas concentration, converting the input signals into real-time current values through a signal receiver and calibrating the real-time current values to be , calibrating the measured display concentration of the laser methane sensor to be ,, wherein the measured display concentration of the laser methane sensor represents the real-time current values corresponding to the interval Q time period in the P time when the laser methane sensor measures the methane gas concentration and the numbers of the measured display concentration, and , is a positive integer; calculating the curvature anomaly coefficient of the input and output signals, wherein the calculation formula is as follows: Wherein is the estimated input/output signal curvature.
In a preferred embodiment, in step S30, the photoelectric drift deviation coefficient , the laser absorption intensity variation coefficient , and the input/output signal curvature anomaly coefficient obtained by the analysis and calculation are subjected to dimensionless processing, and after the unit is removed, a monitoring stability evaluation value is generated, and the monitoring stability evaluation value is calibrated to , where the following is a monitoring stability evaluation value calculation formula: Wherein is a monitor stability evaluation value, 、、 is a scale factor, and 、、 is greater than 0.
In a preferred embodiment, in step S40, the monitoring stability evaluation value generated when the laser methane sensor measures the methane gas concentration is compared with a preset monitoring stability reference threshold value, and the logic of the comparison analysis is as follows:
if the monitoring stability evaluation value is smaller than the monitoring stability reference threshold, generating a high stability signal, and when the high stability signal is generated during gas concentration measurement, not sending out an early warning notice to the high stability signal;
If the monitoring stability evaluation value is larger than the monitoring stability reference threshold value, a low stability signal is generated, when the low stability signal is generated during gas concentration measurement, an early warning notice is sent out to the low stability signal, related staff is informed, maintenance and inspection processing is carried out on the laser methane sensor, and when the laser methane sensor is found to have abnormal stability, timely maintenance and management are carried out on the laser methane sensor.
In a preferred embodiment, in step S50, when maintenance management is performed on the stability abnormality existing when the laser methane sensor monitors methane gas, a plurality of monitoring stability evaluation values output in real time by the laser methane sensor monitor methane gas are collected to create a stability data set, and the stability data set is labeled , so , represents the number of monitoring stability evaluation values in the stability data set, and , is a positive integer;
The monitoring stability assessment values within the stability data set are used to calculate a monitoring stability assessment value standard deviation and a monitoring stability assessment value average , and the monitoring stability assessment value standard deviation and the monitoring stability assessment value average are compared and analyzed with a pre-set standard deviation reference threshold and a pre-set monitoring stability assessment value reference threshold , respectively, with the following analysis logic:
If , indicating that the maintenance management is unsuccessful, and sending a prompt again to warn the manager to perform further maintenance;
If and , further monitoring maintenance management is still required;
If and , no further maintenance is required.
The laser methane sensor stability evaluation method has the technical effects and advantages that:
1. The invention comprehensively analyzes parameters such as photoelectric drift deviation, laser absorption light intensity variation, input/output signal curvature abnormality and the like by measuring the photoelectric property and data fluctuation of methane gas concentration, and generates a monitoring stability evaluation value by dimensionless processing; the stability level of the laser methane sensor can be accurately judged by comparing the laser methane sensor with the preset threshold value, and an early warning notice is timely sent when a low stability signal is detected, so that maintenance management is reminded, the risk of abnormal measurement of the laser methane sensor is effectively reduced, and long-term stable operation of the system is ensured.
2. According to the invention, by following the maintenance condition in real time, a mechanism for evaluating the maintained effect in real time is introduced after the laser methane sensor monitoring system finds out the low-stability signal and maintains the low-stability signal in time; collecting and analyzing a plurality of real-time measurement stability evaluation values, establishing a stability data set, calculating standard deviation and average value, and comparing the standard deviation and average value with a preset standard deviation and a reference threshold value for monitoring the stability evaluation values; through the comparison and analysis, the stability maintenance condition of the laser methane sensor can be accurately judged; the real-time tracking and evaluating mechanism ensures that the system has timely feedback on maintenance and management effects, thereby more effectively ensuring long-term stable operation of the laser methane sensor and improving the reliability and practicality of the system.
Drawings
FIG. 1 is a schematic diagram of a laser methane sensor stability evaluation method according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: FIG. 1 shows a laser methane sensor stability evaluation method of the invention, comprising the following steps:
S10, measuring the concentration of methane gas through laser intensity change generated by optical reaction between a laser methane sensor and the methane gas;
And measuring the optical reaction between the laser methane sensor and methane gas, and recording the collected laser intensity variation when the methane gas reacts with and is absorbed by the laser with specific wavelength emitted by the laser methane sensor, so that the laser methane sensor can measure the methane gas concentration in real time through the proportional relation between the emitted light intensity variation and the methane gas.
S20, acquiring a plurality of measurement process data information of the laser methane sensor when measuring the concentration of methane gas, wherein the measurement process data information comprises photoelectric property information of the two processes before laser emission and after the reaction of the methane gas and the laser is completed and data fluctuation condition information caused by the difference of input and output signals of a laser methane sensor instrument, and analyzing and processing the photoelectric property information and the data fluctuation condition information;
The photoelectric property information of the laser methane sensor when the methane gas concentration is measured comprises a photoelectric drift deviation coefficient and a laser absorption light intensity variation coefficient, and the photoelectric drift deviation coefficient and the laser absorption light intensity variation coefficient are respectively calibrated to be and .
When detecting the methane gas concentration, the laser methane sensor usually uses a spectrum absorption technology to measure the methane gas concentration, and the spectrum absorption technology generates a phenomenon of light source drift due to temperature, laser aging, current and voltage fluctuation and the like, if the laser source generates wavelength drift or intensity change, the measurement result can be deviated, and the stability of the laser methane sensor can be influenced;
A larger light source drift will affect the stability of the laser methane sensor, especially in the case of a larger extreme temperature or current-voltage variation, the light source drift refers to the wavelength drift and emitted light intensity variation of the laser source due to some reasons, which will affect the optical reaction of the laser methane detector;
The influence of photoelectric drift on the stability of the laser methane sensor mainly comprises:
The measurement accuracy is reduced: photoelectric drift can cause the sensitivity of the photoelectric device to change, so that the detection capability of the photoelectric device to light is reduced; this may lead to a decrease in the measurement accuracy of the laser methane sensor, affecting the accuracy of the measurement results;
Signal-to-noise ratio decreases: photoelectric drift may introduce an unstable signal, resulting in a change in the ratio between signal and noise; this may lead to a reduced signal-to-noise ratio of the sensor, making extraction and analysis of the signal more difficult;
response time variation: drift of the optoelectronic device may affect its response time, resulting in a change in the response speed of the laser methane sensor; this may destabilize the response time of the sensor to changes in methane gas concentration;
Periodic calibration requirements increase: as photoelectric drift may occur gradually, the sensor may require more frequent calibration to ensure uniformity of performance; this may increase maintenance requirements for the device;
System stability decreases: photoelectric drift may introduce an unstable factor, thereby reducing the stability of the overall laser methane sensor system; this may result in a change in system performance from point-to-point in time, increasing the need for system monitoring and maintenance.
Therefore, the light source drift condition of the laser transmitter when the laser methane sensor measures the methane gas concentration is monitored, and the hidden trouble of abnormal stability when the laser methane sensor measures the methane gas concentration caused by larger light source drift can be timely monitored.
The logic for obtaining the photoelectric drift deviation coefficient is as follows:
Acquiring a light source drift index of a laser methane sensor at the tail end moment in P time when the methane gas concentration is measured, and calibrating the real-time light source drift index to be ;
the light source drift index is used for representing the variation difference condition of the laser wavelength and the emission light intensity compared with the set wavelength and the emission light intensity, and the calculation formula of the light source drift index is as follows: Wherein denotes a light source drift index, denotes a laser wavelength size, denotes an initially set wavelength size, denotes an emitted light intensity, and denotes an initially set emitted light intensity;
the laser wavelength can be measured by an oscilloscope, and the emitted light intensity can be measured by a photoelectric detector;
Calculating a photoelectric drift deviation coefficient, wherein the calculation expression is as follows: Wherein denotes an initial light source drift index;
The initial light source drift index is obtained by adjusting the wavelength and emission intensity of laser under a standard environment, comparing the absorption condition analysis of methane gas, and obtaining the initial light source drift index as an initial set standard value;
the calculation expression of the photoelectric drift deviation coefficient shows that the larger the expression value of the photoelectric drift deviation coefficient generated in the time T when the methane gas concentration is measured is, the larger the hidden danger that the stability of the laser methane sensor is abnormal when the methane gas concentration is monitored is, and otherwise, the smaller the hidden danger that the stability of the laser methane sensor is abnormal when the methane gas concentration is monitored is indicated.
The light intensity change of the laser absorbed methane gas is larger, the stability of the laser methane sensor when detecting the concentration of the methane gas is possibly reduced, the laser methane sensor is involved with the optical reaction of special fluctuation laser and the methane gas during operation, the stability of the reaction can be directly reflected by the fluctuation of the absorbed light intensity, and the stability of the laser absorbed methane gas when detecting the concentration of the methane gas comprises the following effects and influences:
Precision influence: the change in light intensity is directly related to the measurement of methane gas concentration. The smaller the fluctuation of the light intensity, the higher the measurement accuracy of the sensor for the methane concentration. Therefore, the magnitude of the light intensity variation has a direct influence on the accuracy of the sensor;
Signal-to-noise ratio effect: if the intensity of the laser light absorbing methane gas varies greatly, it may cause a decrease in the ratio between the signal and noise, and extraction and analysis of the signal become more difficult. This can affect the signal to noise ratio of the laser methane sensor, degrading its performance;
response speed influence: the speed of the light intensity change also affects the response speed of the laser methane sensor. The rapidly changing light intensity may require a faster response speed of the sensor in order to capture and react to changes in time;
Environmental factor influence: the light intensity variation may be affected by environmental factors such as temperature and humidity variations. These factors may cause a change in the performance of the optical element, thereby affecting the measurement of the light intensity;
Calibration requirements: a greater variation in light intensity may require more frequent calibration to ensure stability and accuracy of the laser methane sensor. Periodic calibration may help correct for offset due to changes in optical response;
Stability of the system: the magnitude of the light intensity variation can also affect the stability of the overall laser methane sensor system. This includes the stability of the components of the optical element, laser source, etc. under different optical reaction conditions;
Therefore, the absorption light intensity when the laser methane sensor measures the methane gas concentration is monitored, and the hidden trouble of abnormal stability when the laser methane sensor measures the methane gas concentration caused by abnormal change fluctuation of the light intensity can be timely monitored.
The acquisition logic of the laser absorption light intensity variation coefficient is as follows:
Acquiring real-time absorption light intensity at different moments in P time when the laser methane sensor measures the methane gas concentration, and calibrating the real-time absorption light intensity to be , to represent the number of the real-time absorption light intensity acquired by the laser methane sensor at each moment in P time, wherein , is a positive integer;
The method comprises the steps of calculating an absorption light intensity standard deviation and an absorption light intensity average value by using a laser methane sensor to measure the real-time absorption light intensity at different moments in P time, and marking the absorption light intensity standard deviation and the absorption light intensity average value as and respectively, wherein the following specific calculation formula is as follows:
,；
and calculating the absorption light intensity variation coefficient, wherein the calculated expression is as follows: Wherein denotes the absorption intensity variation coefficient;
the larger the expression value of the absorption light intensity variation coefficient is, the larger the real-time absorption light intensity variation at different moments in P time is shown when the laser methane sensor measures the methane gas concentration, otherwise, the smaller the real-time absorption light intensity variation at different moments in P time is shown when the laser methane sensor measures the methane gas concentration;
Calculating the variation coefficient of the laser absorption light intensity, wherein the calculated expression is as follows: ;
the calculation expression of the laser absorption light intensity variation coefficient shows that the larger the expression value of the laser absorption light intensity variation coefficient generated in the P time when the laser methane sensor measures the methane gas concentration is, the larger the hidden danger that the stability of the laser methane sensor is abnormal when the laser methane sensor measures the methane gas concentration is, and the smaller the hidden danger that the stability of the laser methane sensor is abnormal when the laser methane sensor measures the methane gas concentration is, otherwise.
The data fluctuation condition information of the laser methane sensor when measuring the methane gas concentration comprises an input/output signal curvature anomaly coefficient, and after the data fluctuation condition information is obtained, the input/output signal curvature anomaly coefficient is calibrated to be ;
The curvature of the input and output signals represents the curvature of a relation image between the input of a detection signal of the laser methane sensor and the specific concentration output, generally approximates to a linear relation, specifically has the linear relation between the concentration of methane gas and current and the linear relation between the concentration of methane gas and the residual light intensity, and the stability of the laser methane sensor can be evaluated and predicted by monitoring the curvature of the input and output signals;
it should be noted that, the input/output signal can be obtained through the signal collector and visually show the data of the signal through the oscilloscope;
When the concentration value of methane gas is measured through the photoelectric reaction between the laser methane sensor and the methane gas, the stability of the laser methane sensor when measuring the methane gas concentration can be reduced due to the fact that the measured curvature of the input and output signals is larger than the estimated curvature of the input and output signals, and the following is the influence and effect of the curvature difference of the input and output signals on the stability of the laser methane sensor when detecting the methane gas concentration:
The measurement accuracy is reduced: the difference of the curvature of the input and output signals may cause the measurement accuracy of the sensor on the methane concentration to be reduced; if the actual curvature and the estimated curvature have larger difference, the measurement result may deviate from the actual concentration value greatly, and the detection accuracy is affected;
Reliability is reduced: the difference in input-output signal curvature may reduce the reliability of the laser methane sensor; if the output signal of the sensor does not match the expected curve, instability of the system may result, making the performance of the sensor unreliable over different concentration ranges;
Calibration is difficult: the increased input-output signal curvature difference may make calibration of the sensor more difficult; to ensure accuracy of measurement, more frequent or complex calibration procedures may be required to accommodate the actual input-output curves;
increased sensitivity to environmental factors: the difference in input-output signal curvature may increase the sensitivity of the sensor to environmental factors; the variation of factors such as temperature, humidity and the like can cause the deviation of an actual curve and an expected curve, thereby influencing the stability of a measurement result;
A more complex correction algorithm is required: in order to compensate for the effect of the difference in input and output signal curvature, a more complex correction algorithm may need to be designed; this may increase the complexity of the system and require a higher level of skill to maintain and adjust the sensor;
Long-term stability decreases: the difference in input-output signal curvature may lead to reduced long-term stability of the sensor; prolonged use and environmental changes may cause the actual curve to drift gradually, requiring more frequent calibration and maintenance;
therefore, the curvature of the input and output signals when the laser methane sensor measures the concentration of methane gas is monitored, and the hidden trouble of abnormal stability when the laser methane sensor measures the concentration of methane gas caused by abnormal change fluctuation of the input and output signals can be timely monitored.
The acquisition logic of the curvature anomaly coefficient of the input and output signals is as follows:
Acquiring real-time input signals and data of the input signals corresponding to the interval Q time period in the P time when the laser methane sensor measures the methane gas concentration, converting the input signals into real-time current values through a signal receiver and calibrating the real-time current values to be , calibrating the measured display concentration of the laser methane sensor to be ,, wherein the measured display concentration of the laser methane sensor represents the real-time current values corresponding to the interval Q time period in the P time when the laser methane sensor measures the methane gas concentration and the numbers of the measured display concentration, and , is a positive integer;
Calculating the curvature anomaly coefficient of the input and output signals, wherein the calculation formula is as follows: Wherein is the estimated input/output signal curvature;
the calculation expression of the curvature anomaly coefficient of the input and output signals shows that the larger the expression value of the curvature anomaly coefficient of the input and output signals generated in the P time when the laser methane sensor measures the methane gas concentration is, the larger the hidden danger of the anomaly of the stability when the laser methane sensor measures the methane gas concentration is, and otherwise, the smaller the hidden danger of the anomaly of the stability when the laser methane sensor measures the methane gas concentration is.
The method for obtaining the estimated input and output signal curvature is to perform a series of experiments, collect methane concentration detection data of the laser methane sensor under different methane gas concentrations and calculate the known methane gas concentration, clean a plurality of groups of data, and obtain the estimated input and output signal curvature through drawing.
S30, establishing a comprehensive analysis model of the photoelectric property information and the data fluctuation condition information which are subjected to analysis processing when the laser methane sensor measures the methane gas concentration, generating a monitoring stability evaluation value, and evaluating the stability of the laser methane sensor when the laser methane sensor measures the methane gas concentration through the monitoring stability evaluation value;
Specifically, the photoelectric drift deviation coefficient , the laser absorption light intensity variation coefficient and the input/output signal curvature anomaly coefficient obtained by analysis and calculation are subjected to dimensionless processing, a monitoring stability evaluation value is generated after a unit is removed, and is calibrated to , and the following calculation formula of the monitoring stability evaluation value is as follows: Wherein is a monitoring stability evaluation value, 、、 is a proportionality coefficient, and 、、 is greater than 0;
the calculation formula shows that the smaller the photoelectric drift deviation coefficient generated in the P time when the laser methane sensor measures the methane gas concentration, the smaller the laser absorption light intensity variation coefficient and the smaller the input/output signal curvature anomaly coefficient are, namely the smaller the performance value of the monitoring stability evaluation value generated in the P time when the methane gas concentration is measured by the watt laser methane sensor is, the smaller the hidden danger of the anomaly occurrence of the stability of the laser methane sensor when the methane gas concentration is measured is indicated, and the larger the hidden danger of the anomaly occurrence of the stability of the laser methane sensor when the methane gas concentration is measured is indicated to be on the contrary.
S40, comparing and analyzing a monitoring stability evaluation value generated when the laser methane sensor measures the methane gas concentration with a preset monitoring stability reference threshold value, judging the stability condition of the laser methane sensor when the laser methane sensor measures the methane gas concentration, and sending an early warning notice to the hidden danger of abnormality;
Comparing the monitoring stability evaluation value generated when the laser methane sensor measures the methane gas concentration with a preset monitoring stability reference threshold value, and comparing and analyzing the monitoring stability evaluation value with the logic as follows:
if the monitoring stability evaluation value is smaller than the monitoring stability reference threshold, a high stability signal is generated, and when the high stability signal is generated during gas concentration measurement, the laser methane sensor is indicated to monitor the high stability of methane gas, and no early warning notification is sent to the high stability signal;
If the monitoring stability evaluation value is larger than the monitoring stability reference threshold value, a low stability signal is generated, when the low stability signal is generated during gas concentration measurement, the laser methane sensor is indicated to monitor the low stability of methane gas, larger risks and unknown hidden dangers exist, early warning notification is sent out to the low stability signal, relevant staff is informed, maintenance and inspection processing are carried out on the laser methane sensor, and when the laser methane sensor is found to have abnormal stability, timely maintenance and management are carried out on the laser methane sensor.
In the embodiment, parameters such as photoelectric drift deviation, laser absorption light intensity variation, input/output signal curvature abnormality and the like are comprehensively analyzed through measuring the photoelectric property and data fluctuation when the concentration of methane gas, and a monitoring stability evaluation value is generated through dimensionless processing. The stability level of the laser methane sensor can be accurately judged by comparing the laser methane sensor with the preset threshold value, and an early warning notice is timely sent when a low stability signal is detected, so that maintenance management is reminded, the risk of abnormal measurement of the laser methane sensor is effectively reduced, and long-term stable operation of the system is ensured.
Embodiment 2, after a low stability signal appears and a laser methane sensor is timely maintained and managed, a real-time follow-up maintenance condition is needed to determine whether the problem is solved;
S50, when maintenance management is carried out on the stability abnormality existing when the laser methane sensor measures the methane gas concentration, collecting a plurality of measurement stability evaluation values output in real time when the laser methane sensor measures the methane gas concentration, carrying out comprehensive analysis, and judging the maintenance management condition;
When maintenance management is carried out on the stability abnormality existing when the laser methane sensor monitors methane gas, a plurality of monitoring stability evaluation values output by the laser methane sensor in real time are collected to establish a stability data set, and the stability data set is marked as , so , represents the number of the monitoring stability evaluation values in the stability data set, and , is a positive integer;
The monitoring stability assessment values within the stability data set are used to calculate a monitoring stability assessment value standard deviation and a monitoring stability assessment value average , and the monitoring stability assessment value standard deviation and the monitoring stability assessment value average are compared and analyzed with a pre-set standard deviation reference threshold and a pre-set monitoring stability assessment value reference threshold , respectively, with the following analysis logic:
If , indicating that the maintenance management is unsuccessful, and sending a prompt again to warn the manager to perform further maintenance;
if and , it is indicated that there is still a fluctuation after maintenance, and further monitoring of maintenance management is still required;
If and , the maintenance management is successful, and the stability of the laser methane sensor is stabilized and ensured to a certain extent.
According to the embodiment, through real-time follow-up of maintenance conditions, after the laser methane sensor monitoring system discovers a low-stability signal and maintains the low-stability signal in time, a mechanism for evaluating the maintained effect in real time is introduced; collecting and analyzing a plurality of real-time measurement stability evaluation values, establishing a stability data set, calculating standard deviation and average value, and comparing the standard deviation and average value with a preset standard deviation and a reference threshold value for monitoring the stability evaluation values; through the comparison and analysis, the stability maintenance condition of the laser methane sensor can be accurately judged. The real-time tracking and evaluating mechanism ensures that the system has timely feedback on maintenance and management effects, thereby more effectively ensuring long-term stable operation of the laser methane sensor and improving the reliability and practicality of the system.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The laser methane sensor stability evaluation method is characterized by comprising the following steps of:
S10, measuring the concentration of methane gas through laser intensity change generated by optical reaction between a laser methane sensor and the methane gas;
S20, acquiring a plurality of measurement process data information of the laser methane sensor when measuring the concentration of methane gas, wherein the measurement process data information comprises photoelectric property information of the two processes before laser emission and after the reaction of the methane gas and the laser is completed and data fluctuation condition information caused by the difference of input and output signals of a laser methane sensor instrument, and analyzing and processing the photoelectric property information and the data fluctuation condition information;
s30, establishing a comprehensive analysis model of the photoelectric property information and the data fluctuation condition information which are subjected to analysis processing when the laser methane sensor measures the methane gas concentration, generating a monitoring stability evaluation value, and evaluating the stability of the laser methane sensor when the laser methane sensor measures the methane gas concentration through the monitoring stability evaluation value;
S40, comparing and analyzing a monitoring stability evaluation value generated when the laser methane sensor measures the methane gas concentration with a preset monitoring stability reference threshold value, judging the stability condition of the laser methane sensor when the laser methane sensor measures the methane gas concentration, and sending an early warning notice to the hidden danger of abnormality;
S50, when maintenance management is carried out on the stability abnormality existing when the laser methane sensor measures the methane gas concentration, a plurality of measurement stability evaluation values output in real time when the laser methane sensor measures the methane gas concentration are collected for comprehensive analysis, and the maintenance management condition is judged.
2. The method according to claim 1, wherein in step S20, the information of the photoelectric property of the laser methane sensor when measuring the methane gas concentration includes a photoelectric drift deviation coefficient and a laser absorption light intensity variation coefficient, the information of the data fluctuation condition includes an input/output signal curvature anomaly coefficient, and the photoelectric drift deviation coefficient, the laser absorption light intensity variation coefficient and the input/output signal curvature anomaly coefficient are calibrated to 、 and/> , respectively.
3. The method for evaluating the stability of a laser methane sensor according to claim 2, wherein the logic for obtaining the photoelectric drift deviation coefficient is as follows:
Acquiring a light source drift index of a laser methane sensor at the tail end moment in P time when the methane gas concentration is measured, and calibrating the real-time light source drift index to be ; the light source drift index is used for representing the variation difference condition of the laser wavelength and the emission light intensity compared with the set wavelength and the emission light intensity, and the calculation formula of the light source drift index is as follows: in the formula,/> , wherein,/> represents a light source drift index,/> represents a laser wavelength size,/> represents an initially set wavelength size,/> represents an emitted light intensity, and/> represents an initially set emitted light intensity. Calculating a photoelectric drift deviation coefficient, wherein the calculation expression is as follows: Wherein,/> denotes the initial light source drift index;
The acquisition logic of the laser absorption light intensity variation coefficient is as follows:
Acquiring real-time absorption light intensity at different moments in P time when the laser methane sensor measures the methane gas concentration, and calibrating the real-time absorption light intensity to ,/> to represent the number of the real-time absorption light intensity acquired by the laser methane sensor at each moment in P time, wherein/(,/>) is a positive integer; calculating an absorption light intensity standard deviation and an absorption light intensity average value by using real-time absorption light intensity at different moments in P time when the concentration of methane gas is measured by a laser methane sensor, and marking the absorption light intensity standard deviation and the absorption light intensity average value as/> and/> respectively, wherein the following specific calculation formula is as follows: /(,/>); and calculating the absorption light intensity variation coefficient, wherein the calculated expression is as follows: and/> , wherein/> represents an absorption intensity variation coefficient;
Calculating the variation coefficient of the laser absorption light intensity, wherein the calculated expression is as follows: ;
the acquisition logic of the curvature anomaly coefficient of the input and output signals is as follows:
Acquiring real-time input signals and data of the input signals corresponding to the interval Q time period in the P time when the laser methane sensor measures the methane gas concentration, converting the input signals into real-time current values through a signal receiver and calibrating the real-time current values to be , calibrating the measured display concentration of the laser methane sensor to be/> ,/> to represent the real-time current values and the numbers of the measured display concentration corresponding to the interval Q time period in the P time when the laser methane sensor measures the methane gas concentration, wherein ,/> is a positive integer; calculating the curvature anomaly coefficient of the input and output signals, wherein the calculation formula is as follows: and/> , wherein/> is the estimated input/output signal curvature.
4. The method for evaluating stability of a laser methane sensor according to claim 3, wherein in step S30, the photoelectric drift deviation coefficient , the laser absorption intensity variation coefficient/> , and the input/output signal curvature anomaly coefficient/> obtained by analysis and calculation are subjected to dimensionless processing, a monitoring stability evaluation value is generated after removing a unit, and the monitoring stability evaluation value is calibrated to be/> , and the following is a monitoring stability evaluation value calculation formula: Where/> is the monitor stability assessment,/(、/>、/>) is the scaling factor, and/> 、/>、/> is greater than 0.
5. The method according to claim 4, wherein in step S40, the monitoring stability evaluation value generated when the laser methane sensor measures the methane gas concentration is compared with a preset monitoring stability reference threshold, and the logic of the comparison analysis is as follows:
if the monitoring stability evaluation value is smaller than the monitoring stability reference threshold, generating a high stability signal, and when the high stability signal is generated during gas concentration measurement, not sending out an early warning notice to the high stability signal;
If the monitoring stability evaluation value is larger than the monitoring stability reference threshold value, a low stability signal is generated, when the low stability signal is generated during gas concentration measurement, an early warning notice is sent out to the low stability signal, related staff is informed, maintenance and inspection processing is carried out on the laser methane sensor, and when the laser methane sensor is found to have abnormal stability, timely maintenance and management are carried out on the laser methane sensor.
6. The method for evaluating stability of a laser methane sensor according to claim 5, wherein in step S50, when maintenance management is performed on stability abnormality existing when the laser methane sensor monitors methane gas, a plurality of monitoring stability evaluation values output in real time by the laser methane sensor monitoring methane gas are collected to create a stability data set, and the stability data set is labeled , so/> ,/> represents the number of monitoring stability evaluation values in the stability data set, and/> ,/> is a positive integer;
Calculating a monitoring stability evaluation value standard deviation and a monitoring stability evaluation value average value/> by using the monitoring stability evaluation values in the stability data set, and comparing the monitoring stability evaluation value standard deviation/> and the monitoring stability evaluation value average value/> with a preset standard deviation reference threshold/> and a preset monitoring stability evaluation value reference threshold/> respectively, wherein the analysis logic is as follows:
If , indicating that the maintenance management is unsuccessful, and sending a prompt again to warn the manager to perform further maintenance;
If and/> , further monitoring maintenance management is still required;
If and/> , no further maintenance is required.
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